Collaboration Platform for Sustainable Wind Energy Distribution Network

Author:

Jahanpour Ehsan,Ko Hoo Sang,Nof Shimon Y.

Publisher

Elsevier BV

Subject

General Medicine

Reference26 articles.

1. Modeling and forecasting daily electricity load curves: a hybrid approach;Cho;Journal of the American Statistical Association,2013

2. Coughlin, K. and Eto, J.H. (2010). Analysis of wind power and load data at multiple time scales. Lawrence Berkeley National Laboratory, Technical Report.

3. Enslin, J. (2009). Grid impacts and solutions of renewables at high penetration levels. Quanta Technology, Technical Report.

4. Fernandes, R.G., Silva, D.C., de Oliveira, L.H., and Doria Neto, A.D. (2007). Faults detection and isolation based on neural networks applied to a levels control system. In Proceedings of the International Joint Conference on Neural Networks, Orlando, FL.

5. Gensollen, N., Gauthier, V., Marot, M., and Becker, M. (2013) Modeling and optimizing a distributed power network: A complex system approach of the prosumer management in the smart grid. arXiv:1305.4096.

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1. Introduction: Cyber-Collaborative Protocols;Automation, Collaboration, & E-Services;2024

2. Collaboration protocols for sustainable wind energy distribution networks;International Journal of Production Economics;2016-12

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